A Framework for the Responsible and Effective Adoption of AI in Teaching and Learning
The framework is enabling, not prescriptive. Whether and how AI is integrated into teaching, learning, and assessment remains a pedagogical decision for the instructor, aligned with course learning outcomes and disciplinary norms.
Five pillars, resting on a foundation of five guiding principles. Select a pillar to explore it.
Each principle is operationalized across the pillars. Select a principle to see where it applies.
A shared vocabulary for AI in teaching and learning.
Outcomes tracked through the framework’s regular review cycle.
Every source cited in the official framework is available here. Pillar panels also place the most relevant links beside their supporting content.